Mulit-modal Sensor Performance Health Monitoring

The ResilienX team is proposing to develop a multi-modal sensor performance and health monitoring capability as part of the ResilienX FRAIMWORKTM (Fault Recovery and Isolation, Health Monitoring frameWORK) software platform to determine when surveillance sensors (radar, acoustic, EO/IR, etc.) have degraded accuracy or sensitivity. This capability enables quality assurance and facilitates trust in these sensors as they feed highly automated to autonomous systems within the USAF, such as Detect and Avoid (DAA), Counter Unmanned Aircraft Systems (C-UAS), and Base Protection systems. Multi-modal sensor systems are becoming increasingly important for UAS operations and industries such as UAS Traffic Management (UTM), Advanced Air Mobility (AAM), and C-UAS. These sensors are being deployed both as ground-based infrastructure (fixed and mobile) as well as on airborne platforms. Data from these sensors are used to make safety and mission critical decisions. Therefore, for an increasingly autonomous ecosystem, these data must be quality assured to be trusted. Quality assuring sensor data includes verifying sensors are meeting their performance specification as well as monitoring the health and integrity of the sensors themselves. ResilienX, a 2019 Genius NY finalist, has emerged as a leader in the domain of In-time System-wide Safety Assurance (ISSA). In the 8 months since initial product completion, our product has been funded by the National Aeronautic Space Administration (NASA), Federal Aviation Association (FAA), Ohio Federal Research Network (OFRN), and the US Navy. For this effort, ResilienX has teamed with Virginia Tech – Mid Atlantic Aviation Partnership (VT-MAAP), the premier research institution in the country for DAA research, and home to one of the seven FAA designated UAS Test Sites. ResilienX has brought CAL Analytics on as a subcontractor to take advantage of their world class sensor analysis and modeling & simulation (M&S) capabilities. FRAIHMWORK is integrating into our customers’ sensor rich environments such as the Ohio Department of Transportation (ODOT) UTM program, the New York UAS Test Site UTM Corridor, and the Air Force Research Lab SkyVision Ground Based Detect and Avoid (GBDAA) System. Members of the ResilienX Team designed, developed, and deployed (first site in 2016) the Army’s GBDAA System where we pioneered novel techniques to determine sensor health based on requirements levied on the program by the FAA. Our current customers are facing these same requirements and are eager for solutions to enable increased UAS integration into the National Airspace System. We plan to commercialize the technology developed under this effort as a module, or enhanced capability, for our commercially available FRAIHMWORK software. This enhancement will enable us to solve additional pain points around surveillance sensor quality assurance, a key enabler of autonomy, in our core verticals such as UTM, AAM, Smart Cities, C-UAS, and within the DoD.